Job
Description
This position provides strategic, analytical, and technical support for data and business intelligence activities. This position leverages data to gain key insight into business opportunities, and effectively presents these insights to business stakeholders. This position participates in the creation, distribution, and delivery of analytics reports, tables, graphs, and communication materials that effectively summarize findings and support recommendations. Primary Skills (must have): * Strong hands on experience Data Warehouse * Strong hands on experience building Data Lakes * Semantic Model Development (Dimensional, Tabulal), SSAS, AAS, LookML * Strong dashboarding skills - PowerBI (preferred) Tableau * Hands on experience in SQL, DAX, Python, R * Google Cloud Platform & DevOps(CI/CD) Strong analytical skills and attention to detail Proven ability to quickly learn new applications, processes, and procedures. Able and willing to collaborate in a team environment and exercise independent judgement. Excellent verbal and written communication skills. Ability to form good partner relationships across functions. Secondary skills: * Databricks, Azure Data Factory * Agile experience (SAFe/Scrum/Kanban/Lean Agile environment) Responsibilities Designs, develops, and maintains reports and analytical tools and performs ongoing data quality monitoring and refinement. Identifies and analyzes errors and inconsistencies in the data and provides timely resolutions. Translates data results into written reports, tables, graphs, and charts to convey information to management and clients. Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues. Uses data mining to extract information from data sets and identify correlations and patterns. Organizes and transforms information into comprehensible structures. Uses data to predict trends in the customer base and consumer populations and performs statistical analysis of data. Identifies and recommends new ways to support budgets by streamlining business processes. Preferences: Bachelor's Degree (or internationally comparable degree) Business/Economics, Computer Science, Engineering, Marketing, MIS, Mathematics, or related discipline. Experience with data warehousing, data science software, or similar analytics/business intelligence systems.
